Python Course for Data Science
This course provides a fast-paced introduction to Python for data science, covering environment setup, data loading and cleaning with pandas, feature engineering, aggregation, visualization, and communicating insights.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Python Course for Data Science quickly teaches you how to set up a modern environment, load real CSV data into pandas, and assess data quality with missing values, outliers, and duplicates. You will clean and standardize fields, engineer metrics like session_duration_minutes and revenue_per_session, run descriptive and aggregation analysis, build clear visualizations, and communicate concise, benchmarked insights stakeholders can trust.
Elevify advantages
Develop skills
- Python data setup: configure Jupyter, Colab, and key data science libraries fast.
- Data cleaning in pandas: fix types, missing values, outliers, and duplicates.
- Feature engineering: build revenue, conversion, and time-based metrics that matter.
- Aggregation and KPIs: group, pivot, and summarize data into business-ready metrics.
- Data storytelling: create clear visuals and insights for non-technical stakeholders.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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